India’s GDP Measurement

Recent debates among economists, policymakers, and global institutions have highlighted concerns that India’s current GDP measurement framework does not fully capture the realities of a rapidly changing economy.
The Indian economy has increasingly become digital, informal, service-oriented, and platform-driven, while GDP estimation still relies on older assumptions and data structures.

In response, India will implement a new base-year revision of the GDP series in 2026, with Financial Year 2022–23 as the new base year.

What is GDP and How is it Calculated?

Gross Domestic Product (GDP) measures the total monetary value of all final goods and services produced within a country during a given period.

Methods of GDP Calculation in India

India uses three standard approaches:

1. Production (Value Added) Method

2. Income Method

3. Expenditure Method

Among these, India primarily relies on the Production (Value Added) Method, which uses corporate and administrative databases to estimate economic output.

The responsibility for GDP data compilation lies with the Central Statistics Office (CSO) under the Ministry of Statistics and Programme Implementation (MoSPI).

Sectoral Contribution to India’s GDP

• The services sector is the largest contributor, accounting for about 61.5% of GDP.

• The industrial sector contributes approximately 23%.

• The agriculture sector contributes around 15.4% of GDP.

This sectoral composition highlights the growing dominance of services in India’s economy.

What is a Base Year?

A base year is a benchmark year used for comparison in economic and statistical calculations. It serves as a reference point against which current values of indicators such as GDP, Consumer Price Index (CPI), and Index of Industrial Production (IIP) are measured.

Significance of a Base Year

• It helps remove the effect of inflation and measure real economic growth.

• It enables the construction of index numbers (e.g., CPI = 100 in the base year).

• It ensures that economic data reflects the current structure of the economy, including prices, production patterns, and consumption behaviour.

Why India’s GDP Measurement Needs a Reset

1. Outdated Base Year (2011–12)

India’s GDP series still uses 2011–12 as the base year, despite significant structural changes such as digitisation, rise of services, and the gig economy.
International best practices recommend revising the base year every five years to avoid distortions.

2. Poor Capture of the Informal Sector

Nearly half of India’s workforce operates in the informal sector, but GDP estimation relies heavily on old surveys and proxy assumptions, leading to inaccurate measurement—especially after GST implementation and COVID-19 disruptions.

3. Over-Reliance on MCA-21 Database

GDP estimates depend significantly on corporate filings (MCA-21), which:

• Exclude micro and informal enterprises

• Include inactive or shell companies, thereby affecting data quality

4. Weak Measurement of the Services Sector

Although services contribute around 55–60% of GDP, areas such as health, education, care work, digital platforms, intangibles, and quality improvements remain inadequately measured.

5. Employment–Growth Disconnect

High GDP growth has not translated into proportional job creation, suggesting that GDP figures may not reflect inclusive or employment-intensive growth.

6. Post-COVID Structural Changes Ignored

The closure of small firms and the expansion of gig and platform-based work are not fully captured, as existing methodologies still assume a pre-pandemic economic structure.

7. Limited Use of Alternative Data Sources

Unlike global best practices that use satellite imagery, electricity consumption, and digital transaction data, India’s GDP estimation remains survey-heavy and time-lagged.

2026 Base-Year Revision: A Major Opportunity

1. Shift Away from the Commodity-Flow Approach

The revised framework will move away from the commodity-flow method used to estimate consumption.
Earlier, fixed ratios based on a 2011–12 study were used to allocate commodities between intermediate consumption, final consumption, and other uses.

The new system will use dynamic rates and ratios, allowing estimates to evolve with changing consumption patterns.

2. Elimination of ‘Discrepancies’ in GDP Estimates

MoSPI plans to integrate Supply and Use Tables (SUTs) directly into annual GDP compilation.

• Supply and Use Tables show how goods and services are supplied by domestic industries and imports and how they are distributed among intermediate use, final consumption, and exports.

• This approach aims to reduce discrepancies in early estimates and eliminate them entirely in final estimates.

3. Greater Use of Digital and Administrative Data

The revised GDP series will increasingly rely on high-frequency administrative datasets, such as:

• e-Vahan (vehicle registrations)

• GST data and other administrative records

This will improve timeliness, accuracy, and coverage.

4. Updated Surveys as the Data Backbone

Key surveys supporting the new GDP series include:

• Household Consumption Expenditure Survey (HCES) 2022–23 and 2023–24

• Updated surveys of formal and informal enterprises

These surveys are expected to provide more granular and realistic insights into consumption behaviour and production activity than earlier benchmarks.

Conclusion

GDP remains a vital macroeconomic indicator, but without regular methodological updates, it risks misrepresenting India’s structural transformation.
The 2026 base-year revision is essential to make GDP a more accurate, reliable, and policy-relevant tool, supporting evidence-based policymaking, inclusive growth, and sustainable development.